WEBVTT
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>> Hi. This is
the Interesting Show,
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I'm Olivier and here
I'm in the lab,
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the IoT and AI lab.
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This is Marlina. Hey Marlina!
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>> Hey.
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>> Thanks for hosting us today.
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>> My pleasure.
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>> So, tell us a bit about
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yourself and the lab real quick.
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Who are you? What
are you doing here?
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>> Sure. My name
is Marlina Hills.
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I am a director in
business development and I
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manage three of the labs
that we have worldwide.
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We have one here in Redmond,
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Washington, one in Shenzhen China
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and one in Munich Germany.
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>> Awesome. So, what's
going on in these labs?
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>> Yeah. So, these labs
are actually
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for our Microsoft customers.
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These labs are designed so that
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customers can come
into the lab and bring
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in their IoT or AI project
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and they can actually work with
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our team here in
the labs and actually
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accelerate the development
of those projects.
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>> Right.
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>> We often hear
customers tell us
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they may not have the
engineering staff on their team,
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so these really help with
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the customers
engineering team and
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our engineering team to help
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co-develop and unblock
the customers issue.
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The lesson that we
actually had is,
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because we have this lab
and all the equipment,
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the facilities available for
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our customers is all included,
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so that customers can just
go from one area to the next
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and really get a full solution
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of implementing their ideas.
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>> So, that's developer with
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developers making
things work, right?
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>> Absolutely.
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>> Awesome.
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>> We love working
with developers and
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only developers can
actually come into the lab.
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>> I know execs.
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>> No. In fact we tell Execs
that they are coming to lab,
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they better be rolling
up their sleeves
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and be coding or else
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providing some awesome launches
for their teams.
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>> That's cool. So, here
we have an open space.
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What's going on in
that space here?
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>> Yeah. So, this
is a space where we
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first do our introductions
or our stand-ups.
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So, in this lab we're
actually able to
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collaborate with our customers
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and do our daily stand-ups.
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Daily stand-ups include:
what are we doing today?
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What are we going to accomplish?
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Are there specific
roadblocks that we have?
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>> Okay.
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>> In addition to
this collaboration space,
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what we do in this lab is enable
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to work with our customers
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in terms of doing code reviews,
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doing architecture discussions,
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doing security and
scalability reviews.
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>> Okay.
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>> And through this experience,
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we can collaborate with one
another and understand,
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hey what are some of the things
that we need to work on?
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Or technical services
that we need to enable?
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And so, in this lab
that enables that.
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The other half of the
lab is dedicated to
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actually doing
testing of hardware.
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So, as you can see
across the benches there
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we actually have a celloscope,
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we have soaring stations.
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>> Down there?
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>> Yeah. For companies to
actually if they're bringing
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in hardware they can actually do
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some testing while
they're here in the lab.
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>> Okay so I'll have to go out.
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Down there we have big huge
monitors with tones of data.
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So, what's going on
this side of here?
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>> Yeah. So, this is
the May Jamison lab and
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this lab is dedicated
for AI machine learning.
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And what we have
for these monitors
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to work with customers
in terms of their data.
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So, they're interested
in bringing
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large set of data using
machine learning,
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we can actually do a couple
of different things.
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We can actually help
them clean their data,
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we can actually help them put
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some data models up
and create some of
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those data models and then
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create some data
dashboards for them.
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And so, through that engagement,
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customers while they're
bringing in those data sets,
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we really can show
them how to think
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about machine learning
and apply AI.
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In addition to this lab,
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we also can help customers
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that are interested in
Cognitive services.
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As you know we have many
kind of services available.
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Now if they're
interested in putting
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that into their solution,
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we can help them
actually enable that.
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>> Got it. So, It's
just not just about
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educating them about what exists,
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it's like ''Hey, let
me show you how to it
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yourself in this kind of
configuration.'' Right?
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>> Yeah. It's
a custom experience here.
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So, every customer that
we have in the lab,
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we develop our sprints and
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our work streams for
that specific customers.
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We want to make sure that
when they leave the lab,
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they can actually have
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accelerated in terms
of development time,
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they know how to maintain
and operationalize that.
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As well as, if they need
ecosystem partners,
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we have introduced them to
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ecosystem of partners that
we have here in the lab.
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>> That's awesome.
So, we're saying AI,
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you've talked about
a little IoT here,
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we've got talk about
more IoT down there right?
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Cause there's even more toys
for customers. Right?
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>> Absolutely.
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>> Okay, let's check it
out. Okay. So, we are in
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a place where I should wear
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goggles and a hard hat. Right?
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>> Well, most of the time
when customers are
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in here that is true
you should wear
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a hard hat, earbuds too.
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But today since we're
not going to be
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turning on any of the equipment,
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we will just actually show
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you some of what we
have. All right?
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>> Okay, show me.
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>> So, this lab is dedicated
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for customers that want to
actually build their devices.
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And so, customers can
either bring in pieces of
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equipment or hardware or
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they can actually
build it in here.
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>> Got it.
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>> And we have this
lab focused on that.
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So, when customers are using
this they can really help
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build tens or hundreds
while they're
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here in the lab
over a week's time,
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or they can actually send
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them out to our
ecosystem partners.
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But they tend to want to build
them here because there's
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always some refinements
that needs to be made be.
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>> So, let me ask you
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how is that lab making
a difference for them?
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Can't they just buy the equipment
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and just create the same labs?
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>> Yes. They could.
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We actually have a lot
of customers that
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tell us when they're
thinking about
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building this type of equipment
or using this type of
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equipment to build
their specific products.
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It's a huge investment to
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build this type of lab because of
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the fact that there
are multiple pieces
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of equipment needed to even
build one small device.
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You will have PCB board
pieces of equipment,
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you'll have 3D printers,
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you'll have all
the testing equipment.
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That's a quite a big investment
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for companies to have to make
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in order to even
prototype a device.
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So, the value of coming to
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a lab like this, is
you have it all here.
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You have the machine room.
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You actually have all the
equipment that you can use.
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You have the testing equipment
that you can use.
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And then, if you need
to make changes you can
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do it while you're
here in the lab versus
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sending that out perhaps to
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a third party and waiting
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for and two weeks
for it to arrive.
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>> The back and forth
on the PCBs and
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hey you forgot to wrap that.
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>> Yes, exactly.
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>> So, what do we have?
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>> Yeah. So we actually have
a stencil printer here,
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where customers can actually
make their own stencils.
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They go into a PCB machine.
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Once they actually made
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their PCB stencil or make
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changes to it while they're here,
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They can then take it over to
a pick and place machines.
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So, we have the full pick
and place machine in
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which we can load up to
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40 components into this pick
and place machine and it can
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be placed into the PCB port,
example like this.
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>> That's the machine that
you see in the movies,
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it was like boom boom putting
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all the very precise locations
for these things.
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I want to see an IT hub.
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sign here, there is a logo
for IT hub on that one.
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>> That's great.
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>> That's pretty fun. Cool.
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>> And so customers can
actually load this,
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in a matter of couple of minutes.
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And what most customers
do is then inspect it.
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If there's any changes that need
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to be modified here you can go
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to the PCs next door,
make the modifications.
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>> And boom!
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How long does it take for
an average PCB like that?
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>> Less than a minute.
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>> Less than a minute?
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>> Less than a minute
to actually load.
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I've actually seen it all.
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It takes more time to load
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the wheels than it
does to actually-
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>> To actually do the work?
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>>-to do the work on
it, believe it or not.
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>> That's yeah. I wouldn't
even like try and
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guess the price of
such a machine,
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but yeah that's crazy.
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>> Yeah it's crazy. Well, back in
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the day they used to
have to do this by hand.
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So, imagine trying
to do this by hand.
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>> Even your eyes.
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>> Yeah. Exactly. So,
once that is done
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we also have
the Reiffel oven that
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finishes the essential step
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of the PC board adheres
it to the board and then
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again going to
the next part of the lab
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to actually do
the inspection of that.
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>> Also the approved
concept bitration
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is instant., right?
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>> Exactly.
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And so customers when
they come here they can
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do three or four of these
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a day because if
there are changes,
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modifications, build it, and
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then test it next door if
there's a modification,
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change do that again.
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So, they can do that many
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times in a day or a week's time.
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>> One thing we didn't
mention is that
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actually people who are working
here with you in the lab,
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they know how to
use these machines.
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So, sometimes
customers might not be
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very familiar with these.
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They can also benefit from
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professionals who actually
can handle these machines.
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>> Yeah. All of our engineers
are professionals.
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They come from industry,
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they know how to use
all the equipment here.
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They actually work with every
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one of our customers
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along their journey
while they're here.
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>> Awesome. We have
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some magic 3D printers as
well down there. Right?
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>> Yeah. Absolutely. So, we
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have multiple 3D printers
here in the lab.
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We have project printers,
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we have quick prints as well
as this carbon 3D printer.
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Where if a customer wants to do
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higher fidelity types
of print jobs,
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multiple types of materials
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can be loaded in this carbon 3D.
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And once they actually
do a print job here,
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there are other carbon printers
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located around the world
and what they can do is
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then go locally bring
their files that they've done
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here and know that they can go to
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the next carbon 3D and
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actually priint the same type
of print jobs they have.
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>> Exact same fidelity.
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That's not you're augenmass,
it's pretty crazy, right?
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>> No. It's not. You don't
have to modify anything but
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once you print one
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here you can go to
the next one to do that.
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>> Can you show us
some of the things
00:09:33.040 --> 00:09:34.330
that have been 3D printed?
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>> Yeah. Absolutely. So, what
00:09:43.690 --> 00:09:47.230
we have here are several
examples of 3D print jobs
00:09:47.230 --> 00:09:49.300
from the very early stages in
00:09:49.300 --> 00:09:51.555
terms of quick 3D print jobs.
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We have ones here that is showing
00:09:53.860 --> 00:09:56.710
essentially a raspberry Pi here.
00:09:56.710 --> 00:09:58.090
>> Case or box?
00:09:58.090 --> 00:09:59.645
>> Case. And then this shows
00:09:59.645 --> 00:10:02.965
an example of a raspberry
Pi case where it's color.
00:10:02.965 --> 00:10:04.750
So, a lot of our customers
00:10:04.750 --> 00:10:06.530
want to see what
that color looks like?
00:10:06.530 --> 00:10:10.210
How it looks like once you
put the drill holes in there?
00:10:10.210 --> 00:10:11.410
And what they'll do is they'll
00:10:11.410 --> 00:10:12.790
actually load their components in
00:10:12.790 --> 00:10:15.520
here with all the
pieces in there?
00:10:15.520 --> 00:10:16.930
And then of course as you can
00:10:16.930 --> 00:10:18.745
imagine never for the first time.
00:10:18.745 --> 00:10:20.450
So, they get to actually-
00:10:20.450 --> 00:10:22.370
>> -It's rates and make it work.
00:10:22.370 --> 00:10:25.200
So it's a basically,
come out of here,
00:10:25.200 --> 00:10:26.940
with an actual product? Right.
00:10:26.940 --> 00:10:28.510
>> They do. They go through
00:10:28.510 --> 00:10:31.965
this to get to more higher
fidelities in terms
00:10:31.965 --> 00:10:34.060
of materials like this that
00:10:34.060 --> 00:10:38.060
feel just like you were
to buy, right? It feels-
00:10:38.060 --> 00:10:40.125
>> -It feels final.
00:10:40.125 --> 00:10:42.100
>> Final, right? Or
if they want to get
00:10:42.100 --> 00:10:44.650
into more industrial
types of products.
00:10:44.650 --> 00:10:48.205
We have the mill that
actually can do metal.
00:10:48.205 --> 00:10:49.590
We have customers that are
00:10:49.590 --> 00:10:51.735
building products that
are going outside.
00:10:51.735 --> 00:10:53.500
So, an example like this would go
00:10:53.500 --> 00:10:55.795
outside where there's
humid or high heat,
00:10:55.795 --> 00:10:57.190
this actually can sustain that.
00:10:57.190 --> 00:10:58.210
As well as
00:10:58.210 --> 00:11:02.750
super high fidelity
intrinsic pieces like this.
00:11:02.780 --> 00:11:05.055
Pretty detailed right?
00:11:05.055 --> 00:11:06.375
>> That's 3D printed?
00:11:06.375 --> 00:11:07.275
>> Yeah.
00:11:07.275 --> 00:11:08.325
>> I can see through.
00:11:08.325 --> 00:11:09.880
>> Yeah, small, and you can
00:11:09.880 --> 00:11:11.530
see there's multiple
layers in there too.
00:11:11.530 --> 00:11:15.950
High fidelity small and we
can do large print jobs too.
00:11:15.950 --> 00:11:19.195
But we have different options
for our customers here.
00:11:19.195 --> 00:11:23.135
>> Cool. Okay. So, basically
customers come in,
00:11:23.135 --> 00:11:25.340
they talk to you about
the project they're working on.
00:11:25.340 --> 00:11:27.580
They already did some things
but they're very beginning
00:11:27.580 --> 00:11:29.980
stages and after a week or two,
00:11:29.980 --> 00:11:31.810
they come out with
an actual product that
00:11:31.810 --> 00:11:34.105
does everything from sensors,
00:11:34.105 --> 00:11:35.620
all the way up to AI and
00:11:35.620 --> 00:11:37.180
predictive maintenance
and so on, right?
00:11:37.180 --> 00:11:38.120
>> That is right.
00:11:38.120 --> 00:11:39.510
>> This is pretty lab.
00:11:39.510 --> 00:11:41.115
And so, we'll add a link.
00:11:41.115 --> 00:11:43.540
There's a link where customers
can actually learn more
00:11:43.540 --> 00:11:46.560
about the lab and that
was a fantastic visit.
00:11:46.560 --> 00:11:48.260
Thanks a lot Marlina.
See you soon.
00:11:48.260 --> 00:11:48.670
>> Thank you.
00:11:48.670 --> 00:11:50.600
>> Thank you guys.